Penerapan Multi-Objective Optimization by Ratio Analysis (MOORA) Dalam Penyeleksian Kelayakan Nasabah Penerima Kredit
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Agus Iskandar
*
Universitas Nasional, Jakarta,
Indonesia
(*) Corresponding Author
Abstract
Rural Banks (BPR) play an important role in helping to solve financial problems for the community in providing credit, the bank must conduct careful research and calculations on customers. PT.BPR this bank has a difficult problem determining the amount of credit value desired by a customer. This is because assessing whether or not a customer is eligible to receive a credit score is not easy because it involves many factors that must be considered and analyzed properly. The Decision Support System is applied in this study as a system for selecting the eligibility of credit recipients. In determining the appropriate selection of credit recipients, they must meet criteria such as income, age, occupation, guarantee and number of dependents. Therefore, a Decision Support System (DSS) is needed in solving existing problems by applying the MOORA (Multi-Objective Optimization on the basis of Ratio Analysis) method which can generate preference values from the first ranked alternative. So that the selection of the eligibility of credit recipients lies in alternative N3 on behalf of Nurhayati with a value of 0.22197.
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